A study has demonstrated that an artificial intelligence algorithm can identify patients at risk of severe arrhythmia leading to cardiac arrest within two weeks, achieving over 70% accuracy. Developed by a collaboration of researchers, this technology promises to change preventative measures against sudden cardiac deaths, which claim over 5 million lives annually.
A groundbreaking study has revealed that artificial intelligence could play a pivotal role in preventing sudden cardiac deaths. Researchers from Inserm, Université Paris Cité, and AP-HP, alongside American scientists, developed an artificial neural network resembling human brain functions. Their study demonstrated that by scrutinizing over 240,000 electrocardiograms, the AI could accurately identify patients at risk of arrhythmia that could lead to cardiac arrest within two weeks, in over 70% of cases.
Every year, more than 5 million people die from sudden cardiac arrests worldwide, often without any prior symptoms or known heart conditions. The newly developed AI could significantly improve the early detection of these dangerous arrhythmias, which can lead to fatal outcomes. The research team focused on analyzing millions of heartbeats to uncover subtle signals indicating potential arrhythmias, particularly observing the electrical activity during a complete cardiac cycle.
Lead author Laurent Fiorina noted the significance of their findings, emphasizing that their method can discern those likely to develop severe arrhythmias just days before an event occurs. The neural network’s ability to successfully flag at-risk patients in 70% of occurrences and low-risk patients in 99.9% presents an exciting avenue for prevention. The researchers envision the algorithm being used in hospitals and as part of wearable devices like smartwatches.
Eloi Marijon highlighted a significant shift in how we address sudden cardiac deaths. Traditionally, efforts focused on predicting risks over longer periods, but this AI advances our capacity to foresee imminent threats. With plans for prospective clinical studies, the research team seeks to validate their technology in real-world settings. Fiorina emphasized the need for clinical trials to ensure the AI’s effectiveness, heralding a revolutionary shift in how we approach severe arrhythmia prevention.
The use of artificial intelligence in predicting sudden cardiac death opens up an exciting realm of possibilities for timely intervention. This revolutionary technology could vastly improve our approach to cardiovascular health, enabling the identification of high-risk patients shortly before critical events unfold. If proven effective in clinical trials, AI could transform the future of cardiac care, enhancing early detection and preventative strategies that may ultimately save millions of lives.
Original Source: www.techno-science.net
